ta-lib

ta-lib is a skill for Claude Code from agiprolabs/claude-trading-skills. It costs 25 tokens per session (2,590 once invoked), scanned B, original, MIT.

A C-based financial analysis library with a Python interface. It provides more than 150 indicator calculations and 61 candlestick-pattern recognizers for market data, returning results as NumPy arrays.

In plain words
What is it for?
Use it to calculate momentum, volume, volatility, trend, overlap, cycle, and mathematical indicators, recognize candlestick patterns, and feed those results into trading analysis.
Why use it?
It speeds up repeated calculations on large datasets and avoids implementing common technical indicators and candle-pattern rules yourself.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the trading-skills plugin — 68 skills shipped together

not rated 354repo +12 8d ago B scan Socket: passSnyk: passSkillSpector: warn 25 tokens original MIT

Good fit Use it to calculate momentum, volume, volatility, trend, overlap, cycle, and mathematical indicators, recognize candlestick patterns, and feed those results into trading analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agiprolabs/claude-trading-skills/ta-lib
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add agiprolabs/claude-trading-skills --skill ta-lib
Clone the repo
git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills

Made for: Claude Code.

Or install trading-skills, the plugin that ships this one along with the rest of its 68 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ta-lib

README.md
[![agentmods](https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/ta-lib/github.svg)](https://agentmods.dev/skills/agiprolabs/claude-trading-skills/ta-lib)
Your own site
<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/ta-lib"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/ta-lib/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ta-lib

Your own site · 80×15
<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/ta-lib"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/ta-lib.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,590 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 21 Mar 2026
  • Snyk pass 21 Mar 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 38
    Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.
    Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
  • medium Privilege Escalation · line 30
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 38
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.02590
Opus 5 $0.00013 $0.01295
Sonnet 5 $0.00005 $0.00518
Haiku 4.5 $0.00003 $0.00259

Measured 11d ago against content hash 892d79f2e468, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

ta-lib scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/compute_indicators.py, scripts/pattern_scanner.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt-get install -y ta-lib

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

wget https://github.com/ta-lib/ta-lib/releases/download/v0.6.4/ta-lib-0.6.4-src.tar.gz
skills/ta-lib/SKILL.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ta-lib — C-Optimized Technical Analysis

TA-Lib (Technical Analysis Library) is a C library with a Python wrapper providing 150+ technical analysis functions and 61 candlestick pattern recognition functions. It is the industry standard for performance-critical indicator computation, used in production trading systems where pandas-ta or pure-Python alternatives are too slow.

What TA-Lib Is

TA-Lib was originally written in C for financial market data analysis. The Python wrapper (TA-Lib on PyPI, imported as talib) provides:

  • 150+ indicator functions across overlap, momentum, volume, volatility, cycle, and math categories
  • 61 candlestick pattern recognition functions — the most comprehensive pattern library available
  • C-speed computation — 10-100x faster than pure-Python equivalents on large datasets
  • Two APIs: a function API (pass arrays directly) and an abstract API (pass dict of arrays)
  • NumPy native — all inputs and outputs are NumPy arrays

Installation

TA-Lib requires the underlying C library to be installed first:

# macOS
brew install ta-lib
uv pip install TA-Lib numpy pandas

# Ubuntu/Debian
sudo apt-get install -y ta-lib
uv pip install TA-Lib numpy pandas

# From source (any platform)
wget https://github.com/ta-lib/ta-lib/releases/download/v0.6.4/ta-lib-0.6.4-src.tar.gz
tar -xzf ta-lib-0.6.4-src.tar.gz
cd ta-lib-0.6.4
./configure --prefix=/usr/local
make && sudo make install
uv pip install TA-Lib numpy pandas

If the C library is not installed, import talib will fail with an ImportError. The scripts in this skill include fallback logic for environments without TA-Lib installed.

When to Use TA-Lib vs pandas-ta

Criterion TA-Lib pandas-ta
Speed C-optimized, 10-100x faster Pure Python, slower on large data
Candlestick patterns 61 built-in patterns Limited pattern support
Installation Requires C library pip install only
API style NumPy arrays DataFrame .ta accessor
Indicator count 150+ 130+
Streaming Single-value update possible Recompute entire series
Dependencies C lib + numpy pandas only

Read the full file on GitHub · 291 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 291 lines · 25 tokens per session scan B 892d79f2e468

Subscribe to this mod's changes

ta-lib is a skill published in the GitHub repository agiprolabs/claude-trading-skills (354 stars, last pushed 8d ago), licensed MIT. It adds 25 tokens to every session and 2,590 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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